Data Scientist
Über die Position
Quicklizard, a pioneer in AI-driven dynamic pricing solutions, is looking for an experienced Data Scientist to join our innovative Data Science team. You’ll lead the development and deployment of advanced machine learning models and analytical solutions that directly impact revenue optimization for leading global retailers and brands.
Quicklizard’s dynamic pricing B2B SaaS platform revolutionizes retail pricing by delivering actionable AI insights to over 40 markets worldwide, spanning industries such as consumer electronics, beauty, apparel, and more. Since 2018, we’ve empowered retailers to automate and optimize their pricing strategies across both online and offline channels, significantly boosting growth and profitability.
We’re seeking ambitious professionals excited by complex challenges and eager to make a significant impact on the future of retail technology. If you’re driven by innovation and want to join a pioneering company transforming retail pricing into visionary strategies, Quicklizard offers the perfect environment to thrive.
Ihre Rolle und Ihr Einfluss
As a Data Scientist at Quicklizard, you’ll play a critical role in shaping and enhancing our AI-driven pricing platform. Specifically, you will:
● Develop and Optimize Advanced ML Models: Build, improve, and deploy machine learning and statistical models for forecasting demand, analyzing price elasticities, and recommending optimal pricing strategies.
● Lead End-to-End Data Science Projects: Own your projects fully, from conceptualization and experimentation through production deployment, monitoring, and iterative improvement.
● Innovate with Generative and Predictive AI Solutions: Leverage state-of-the-art generative and predictive modeling techniques to automate complex pricing scenarios and adapt to rapidly changing market dynamics.
What We Offer
● Professional Growth: Work in a stimulating environment where you can continuously develop and expand your skills.
● Impactful Work: Tackle complex problems that directly influence major global brands and retailers.
● Innovative Team Culture: Be part of a dynamic, technology-focused team at the forefront of retail tech innovation and data science.
Anforderungen
Was wir suchen
● A Master’s or PhD in Computer Science, Physics, Applied Mathematics or a related field, demonstrating a strong foundation in analytical thinking.
- 4+ years of professional experience in:
- End-to-end machine learning lifecycle (design, development, deployment, and monitoring).
- Advanced Python development, including OOP, writing production-grade code, testing, and optimization.
- Data mining, statistical analysis, and effective data visualization techniques.
- Deep familiarity with modern ML/DL methods and frameworks (e.g., PyTorch, XGBoost, scikit-learn, statsmodels).
- Strong analytical skills combined with practical experience interpreting model outputs to drive business decisions.
Nice-to-Haves
● Practical knowledge of SQL and experience with large-scale data systems like Hadoop or Spark.
● Familiarity with MLOps tools and practices (CI/CD, model monitoring, data version control).
● Experience in reinforcement learning and Monte-Carlo methods.
● A solid grasp of microeconomic principles, including supply and demand dynamics, price elasticity, as well as econometrics.
● Experience with cloud services and platforms, preferably AWS.
Mitmachen
If you’re an experienced Data Scientist ready to make a significant impact, Quicklizard offers the ideal environment to challenge yourself and advance your career. Join our
dynamic team to tackle complex real-world problems and help shape the future of retail pricing through advanced AI solutions.
